Sae‐Ryung Kang

89 total papers · 936 total citations
53 papers, 606 citations indexed

About

Sae‐Ryung Kang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sae‐Ryung Kang has authored 53 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Surgery and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sae‐Ryung Kang's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (14 papers) and Lymphoma Diagnosis and Treatment (10 papers). Sae‐Ryung Kang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Imaging Techniques and Applications (14 papers) and Lymphoma Diagnosis and Treatment (10 papers). Sae‐Ryung Kang collaborates with scholars based in South Korea, United States and Bangladesh. Sae‐Ryung Kang's co-authors include Jung‐Joon Min, Su Woong Yoo, Hee‐Seung Bom, Ho‐Chun Song, Jahae Kim, Sang‐Geon Cho, Seong Young Kwon, Ari Chong, Jong-Ryool Oh and In‐Jae Oh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Advanced Drug Delivery Reviews.

In The Last Decade

Sae‐Ryung Kang

50 papers receiving 598 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sae‐Ryung Kang	286	118	110	94	72	53	606
Su Woong Yoo	179 0.6×	179 1.5×	113 1.0×	62 0.7×	53 0.7×	43	522
Qiang Li	78 0.3×	175 1.5×	52 0.5×	19 0.2×	82 1.1×	56	522
H.-J. Sommerfeld	140 0.5×	103 0.9×	135 1.2×	68 0.7×	56 0.8×	25	617
Ole Gemeinhardt	188 0.7×	205 1.7×	78 0.7×	17 0.2×	23 0.3×	45	522
Lauren A. Wirtzfeld	307 1.1×	325 2.8×	38 0.3×	19 0.2×	39 0.5×	32	538
Huijie Jiang	231 0.8×	82 0.7×	98 0.9×	6 0.1×	80 1.1×	59	622
Ying Wang	76 0.3×	61 0.5×	113 1.0×	68 0.7×	149 2.1×	32	540
Jason Chiang	103 0.4×	249 2.1×	97 0.9×	35 0.4×	64 0.9×	41	536
Roozbeh Houshyar	195 0.7×	63 0.5×	221 2.0×	7 0.1×	81 1.1×	55	681
Nathan M. Shumway	147 0.5×	37 0.3×	56 0.5×	15 0.2×	283 3.9×	36	648

Countries citing papers authored by Sae‐Ryung Kang

Since Specialization

Citations

This map shows the geographic impact of Sae‐Ryung Kang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sae‐Ryung Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sae‐Ryung Kang more than expected).

Fields of papers citing papers by Sae‐Ryung Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae‐Ryung Kang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sae‐Ryung Kang. The network helps show where Sae‐Ryung Kang may publish in the future.

Co-authorship network of co-authors of Sae‐Ryung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sae‐Ryung Kang. A scholar is included among the top collaborators of Sae‐Ryung Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sae‐Ryung Kang. Sae‐Ryung Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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